Timeline for Measurement Error Analysis in Gaussian distribution
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| Sep 7, 2023 at 18:10 | answer | added | NotMe | timeline score: 1 | |
| Sep 7, 2023 at 4:09 | comment | added | Govind Prajapat | I have edited the question, could someone tell me the graph that I made is correct or not according to ISO definitions ? | |
| Sep 7, 2023 at 3:51 | history | edited | Govind Prajapat | CC BY-SA 4.0 |
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| Sep 6, 2023 at 17:26 | history | edited | Govind Prajapat | CC BY-SA 4.0 |
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| Sep 6, 2023 at 13:06 | comment | added | Govind Prajapat | ISO defination of trueness :- 'closeness of agreement between the average of an infinite number of replicates measured quantity values and a reference quantity value' defines trueness as opposite to systematic error (True value - Population mean) and as you explained above Accuracy is considered as opposite to total error(random+systematic, True value - Measured value) in measured value. But what about precision? It is opposite to Random error(as shown in 1st Graph)? Because Population mean is free from random error, may be precision is not related to it but to measured value? | |
| Sep 6, 2023 at 11:45 | comment | added | Govind Prajapat | So accuracy , Trueness and precision will be defined on basis of what random sample or population mean ? | |
| Sep 6, 2023 at 9:29 | history | edited | Govind Prajapat | CC BY-SA 4.0 |
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| Sep 6, 2023 at 5:43 | history | asked | Govind Prajapat | CC BY-SA 4.0 |